Skip to main navigation Skip to search Skip to main content

Memory architecture evaluation for video encoding on enhanced embedded processors

Ali Iranpour, Krzysztof Kuchcinski

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

In this paper we investigate the impact of different memory configurations on performance and energy consumption of the video encoding applications, MPEG-4 and H.264. The memory architecture is integrated with SIMD extended embedded processor, proposed in our previous work. We explore both dedicated memories and multilevel cache-architectures and perform exhaustive simulations. The simulations have been conducted using highly optimized proprietary video encoding code for mobile handheld devices. Our simulation results show that the performance improvement of dedicated memories on video encoding applications is not very significant. The multilevel cache-based architecture processes approximately 17 frames/s compared to 1922 frames/s for 512 KB dedicated on-chip zero-wait state memory. Thus it is difficult to justify using dedicated memory for this kind of embedded systems, when energy consumption and cost of implementation are also considered.
Original languageEnglish
Title of host publicationEmbedded Computer Systems: Architectures, Modeling, and Simulation. Proceedings (Lecture Notes in Computer Science)
PublisherSpringer
Pages309-320
Volume4017
ISBN (Print)978-3-540-36410-8
DOIs
Publication statusPublished - 2006
EventEmbedded Computer Systems: Architectures, Modeling, and Simulation. 6th International Workshop - Samos, Greece
Duration: 2006 Jul 172006 Jul 20

Publication series

Name
Volume4017
ISSN (Print)1611-3349
ISSN (Electronic)0302-9743

Conference

ConferenceEmbedded Computer Systems: Architectures, Modeling, and Simulation. 6th International Workshop
Country/TerritoryGreece
CitySamos
Period2006/07/172006/07/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Subject classification (UKÄ)

  • Computer Sciences

Fingerprint

Dive into the research topics of 'Memory architecture evaluation for video encoding on enhanced embedded processors'. Together they form a unique fingerprint.

Cite this